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61. 发明申请

US20090006344A1 MARK-UP ECOSYSTEM FOR SEARCHING 审中-公开
标题翻译：标记生态系统搜索
公开(公告)号：US20090006344A1
公开(公告)日：2009-01-01
申请号：US11770502
申请日：2007-06-28
申请人： John C. Platt , Gary W. Flake , Ramez Naam , Anoop Gupta , Oliver Hurst-Hiller , Trenholme J. Griffin
发明人： John C. Platt , Gary W. Flake , Ramez Naam , Anoop Gupta , Oliver Hurst-Hiller , Trenholme J. Griffin
IPC分类号： G06F7/00
CPC分类号： G06F17/276 , G06F16/90332
摘要： Architecture for completing search queries by using artificial intelligence based schemes to infer search intentions of users. Partial queries are completed dynamically in real time. Additionally, search aliasing can also be employed. Custom tuning can be performed based on at least query inputs in the form of text, graffiti, images, handwriting, voice, audio, and video signals. Natural language processing occurs, along with handwriting recognition and slang recognition. The system includes a classifier that receives a partial query as input, accesses a query database based on contents of the query input, and infers an intended search goal from query information stored on the query database. A query formulation engine receives search information associated with the intended search goal and generates a completed formal query for execution.
摘要翻译：通过使用基于人工智能的方案来推断用户的搜索意图来完成搜索查询的架构。部分查询是实时动态完成的。此外，还可以使用搜索别名。可以至少基于文本，涂鸦，图像，手写，语音，音频和视频信号的查询输入进行定制调整。自然语言处理发生，手写识别和俚语识别。该系统包括接收部分查询作为输入的分类器，基于查询输入的内容访问查询数据库，并从存储在查询数据库中的查询信息推断预期的搜索目标。查询制定引擎接收与预期搜索目标相关联的搜索信息，并生成完成的正式查询以供执行。

62. 发明申请

US20080300872A1 SCALABLE SUMMARIES OF AUDIO OR VISUAL CONTENT 审中-公开
标题翻译：音频或视觉内容的可比性概要
公开(公告)号：US20080300872A1
公开(公告)日：2008-12-04
申请号：US11756059
申请日：2007-05-31
申请人： Sumit Basu , Surabhi Gupta , John C. Platt , Patrick Nguyen , Milind V. Mahajan
发明人： Sumit Basu , Surabhi Gupta , John C. Platt , Patrick Nguyen , Milind V. Mahajan
IPC分类号： G10L15/26
CPC分类号： G10L15/26 , G06F16/40 , G06F16/64 , G06F16/685 , G06F16/739 , G06F16/7844 , H04N7/147
摘要： Providing for browsing a summary of content formed of keywords that can scale to a user-defined level of detail is disclosed herein. Components of a system can include a summarization component that extracts keywords related to the content and associates the keywords with portions thereof, and a zooming component that displays a number of keywords based on a keyword/keyphrase relevance rank and a zoom factor. Additionally, a speech to text component can translate speech associated with the content into text, wherein the keywords are extracted from the translated text. Consequently, the claimed subject matter can present a variable hierarchy of keywords to form a scalable summary of such recorded content.
摘要翻译：本文公开了提供浏览由缩放到用户定义的细节级别的关键字形成的内容的摘要。系统的组件可以包括摘要组件，其提取与内容相关的关键词并将关键字与其部分相关联，以及缩放组件，其基于关键字/关键短语相关性等级和缩放因子显示多个关键字。此外，对文本组件的语音可以将与内容相关联的语音翻译为文本，其中从翻译的文本中提取关键字。因此，所要求保护的主题可以呈现关键词的可变层级以形成这种记录内容的可伸缩摘要。

63. 发明授权

US07451123B2 Probability estimate for K-nearest neighbor 有权
标题翻译： K最近邻的概率估计
公开(公告)号：US07451123B2
公开(公告)日：2008-11-11
申请号：US11296919
申请日：2005-12-08
申请人： John C. Platt , Christopher J. C. Burges
发明人： John C. Platt , Christopher J. C. Burges
IPC分类号： G06E1/00 , G06F15/00
CPC分类号： G06K9/6276
摘要： Systems and methods are disclosed that facilitate producing probabilistic outputs also referred to as posterior probabilities. The probabilistic outputs include an estimate of classification strength. The present invention intercepts non-probabilistic classifier output and applies a set of kernel models based on a softmax function to derive the desired probabilistic outputs. Such probabilistic outputs can be employed with handwriting recognition where the probability of a handwriting sample classification is combined with language models to make better classification decisions.
摘要翻译：公开了有助于产生也称为后验概率的概率输出的系统和方法。概率输出包括分类强度的估计。本发明拦截非概率分类器输出并且基于softmax函数应用一组核心模型以导出所需的概率输出。这样的概率输出可以与手写识别一起使用，其中手写样本分类的概率与语言模型组合以进行更好的分类决定。

64. 发明授权

US07430567B2 Multidimensional data object searching using bit vector indices 失效
公开(公告)号：US07430567B2
公开(公告)日：2008-09-30
申请号：US11166627
申请日：2005-06-24
申请人： Jonathan Goldstein , John C. Platt , Christopher J. C. Burges
发明人： Jonathan Goldstein , John C. Platt , Christopher J. C. Burges
IPC分类号： G06F17/30
CPC分类号： G06F17/30333 , G06F17/30023 , G06F17/30592 , Y10S707/957 , Y10S707/99933 , Y10S707/99942 , Y10S707/99943 , Y10S707/99945 , Y10S707/99948
摘要： Prior to searching a multidimensional feature space populated with data objects, each dimension in the feature space is divided into a number of intervals. When a query is received, a single interval that is overlapped by the query is selected from each dimension. A reduced set of data objects is then selected that includes only those data objects that overlap the selected intervals. This reduced set of data objects, rather than the entire set of data objects in the feature space, is then used to determine matches for the query.

65. 发明授权

US07421305B2 Audio duplicate detector 有权
标题翻译：音频重复检测器
公开(公告)号：US07421305B2
公开(公告)日：2008-09-02
申请号：US10785561
申请日：2004-02-24
申请人： Christopher J. C. Burges , John C. Platt , Daniel Plastina , Erin L. Renshaw
发明人： Christopher J. C. Burges , John C. Platt , Daniel Plastina , Erin L. Renshaw
IPC分类号： G06F17/00
CPC分类号： G06F17/30758 , G06F17/30017 , G06F17/30743 , G10H1/0041 , G10H2240/061 , G10H2240/155 , G10H2250/221 , G11B27/28
摘要： The present invention relates to a system and methodology to facilitate automatic management and pruning of audio files residing in a database. Audio fingerprinting is a powerful tool for identifying streaming or file-based audio, using a database of fingerprints. Duplicate detection identifies duplicate audio clips in a set, even if the clips differ in compression quality or duration. The present invention can be provided as a self-contained application that it does not require an external database of fingerprints. Also, a user interface provides various options for managing and pruning the audio files.
摘要翻译：本发明涉及一种便于自动管理和修剪驻留在数据库中的音频文件的系统和方法。音频指纹是使用指纹数据库识别流媒体或基于文件的音频的强大工具。重复的检测识别集合中的重复音频剪辑，即使剪辑在压缩质量或持续时间上有所不同。本发明可以作为独立应用来提供，其不需要外部指纹数据库。此外，用户界面提供了管理和修剪音频文件的各种选项。

66. 发明申请

US20080005095A1 VALIDATION OF COMPUTER RESPONSES 审中-公开
标题翻译：计算机响应验证
公开(公告)号：US20080005095A1
公开(公告)日：2008-01-03
申请号：US11427317
申请日：2006-06-28
申请人： Eric J. Horvitz , William H. Gates , Joshua T. Goodman , Bradly A. Brunell , Gary Flake , Oliver Hurst-Hiller , Kenneth A. Moss , Raymond E. Ozzie , John C. Platt , Yevgeny E. Agichtein , Eric D. Brill , Robert J. Ragno , Matthew R. Richardson
发明人： Eric J. Horvitz , William H. Gates , Joshua T. Goodman , Bradly A. Brunell , Gary Flake , Oliver Hurst-Hiller , Kenneth A. Moss , Raymond E. Ozzie , John C. Platt , Yevgeny E. Agichtein , Eric D. Brill , Robert J. Ragno , Matthew R. Richardson
IPC分类号： G06F17/30
CPC分类号： G06F16/951 , G06F16/34
摘要： The subject disclosure pertains to scrutinizing results generated or otherwise provided by a computer. A mechanism is provided that enables users to validate computer-based information. Users can receive a validity metric associated with computer generated or provided results indicative of the veracity of such results. Validation systems and methods are disclosed to facilitate determining the veracity of results including those that employ humans (e.g., referrals, voting . . . ) and/or automated means (e.g., source analysis, data mining . . . ).The disclosure also provides a mechanism for guiding computer searches (e.g., web, Internet, intranet . . . ). Machine learning and reasoning mechanisms are employed together with a search engine to facilitate intelligent guidance of queries and results based on a query and responses to computer generated inquires.
摘要翻译：本发明涉及审查计算机生成或以其他方式提供的结果。提供了一种机制，使用户能够验证基于计算机的信息。用户可以收到与计算机生成或提供的结果相关联的有效性度量，表明这些结果的真实性。公开了验证系统和方法以便于确定结果的真实性，包括使用人类（例如转介，投票...）和/或自动化手段（例如，源分析，数据挖掘等）的结果的真实性。本公开还提供了用于引导计算机搜索（例如，web，因特网，内部网等）的机制。机器学习和推理机制与搜索引擎一起使用，以便根据查询和对计算机生成的查询的响应来促进对查询和结果的智能指导。

67. 发明申请

US20080005069A1 ENTITY-SPECIFIC SEARCH MODEL 审中-公开
公开(公告)号：US20080005069A1
公开(公告)日：2008-01-03
申请号：US11426994
申请日：2006-06-28
申请人： Christopher D. Payne , Eric J. Horvitz , Alexander G. Gounares , Susan T. Dumais , Kyle G. Peltonen , Gary W. Flake , Xuedong D. Huang , William H. Gates , John C. Platt , Oliver Hurst-Hiller , Joshua T. Goodman , Christopher A. Meek , Ramez Naam , Raymond E. Ozzie , Eric D. Brill
发明人： Christopher D. Payne , Eric J. Horvitz , Alexander G. Gounares , Susan T. Dumais , Kyle G. Peltonen , Gary W. Flake , Xuedong D. Huang , William H. Gates , John C. Platt , Oliver Hurst-Hiller , Joshua T. Goodman , Christopher A. Meek , Ramez Naam , Raymond E. Ozzie , Eric D. Brill
IPC分类号： G06F17/30
CPC分类号： G06F16/9535
摘要： A system that employs an explicitly and/or implicitly trained model in order to return entity-specific computer-based search results is provided. The innovation can provide for a customized search model that focuses search in connection with achieving information that is meaningful with respect to goals of an entity. The model can be used to modify a search query in accordance with a goal of the entity or to generate the search query thereby returning meaningful and/or targeted results to the user. The system can automatically gather entity-related data thereafter determining or inferring a goal as well as training the model. Moreover, the system can selectively configure (e.g., order, rank, filter) and render results to a user based upon the model.

68. 发明申请

US20080005067A1 CONTEXT-BASED SEARCH, RETRIEVAL, AND AWARENESS 审中-公开
标题翻译：基于语境的搜索，检索和意识
公开(公告)号：US20080005067A1
公开(公告)日：2008-01-03
申请号：US11426981
申请日：2006-06-28
申请人： Susan T. Dumais , Kyle G. Peltonen , Anoop Gupta , Bradly A. Brunell , William H. Gates , Gary W. Flake , Ramez Naam , Eric J. Horvitz , Xuedong D. Huang , John C. Platt , Oliver Hurst-Hiller , Trenholme J. Griffin , Joshua T. Goodman
发明人： Susan T. Dumais , Kyle G. Peltonen , Anoop Gupta , Bradly A. Brunell , William H. Gates , Gary W. Flake , Ramez Naam , Eric J. Horvitz , Xuedong D. Huang , John C. Platt , Oliver Hurst-Hiller , Trenholme J. Griffin , Joshua T. Goodman
IPC分类号： G06F17/30
CPC分类号： G06F16/24575
摘要： A system that incorporates a user context into a computer-based search is provided. To establish the context, the innovation can identify information about a user state or context via a variety of sources and sensors. The state/context information can be used to filter, arrange and/or rank search results so as to facilitate converging on meaningful searches and results. Machine learning systems (implicitly and/or explicitly trained) can be employed to infer a current and/or future context related to user. An identified or inferred user context can be employed to modify an automated or user-defined search input/query. Contextual cues can be considered directly in the construction and use of context of context-sensitive retrieval algorithms that are optimized for identifying and/or ranking of informational items of potential interest or value in different contexts. As well, the context can be employed to intelligently render results of a query (e.g., user/application defined, context-modified query).
摘要翻译：提供了将用户上下文合并到基于计算机的搜索中的系统。为了建立上下文，创新可以通过各种来源和传感器识别关于用户状态或上下文的信息。状态/上下文信息可用于过滤，排列和/或排列搜索结果，以便于有意义地搜索和结果的收敛。可以使用机器学习系统（隐式和/或显式训练）来推断与用户相关的当前和/或将来的上下文。可以使用识别或推断的用户上下文来修改自动或用户定义的搜索输入/查询。上下文提示可以直接考虑在对不同上下文中潜在兴趣或价值的信息项目的识别和/或排名进行优化的上下文敏感检索算法的上下文的构建和使用中。同样，可以使用上下文来智能地呈现查询的结果（例如，定义的用户/应用程序，上下文修改的查询）。

69. 发明申请

US20080004884A1 EMPLOYMENT OF OFFLINE BEHAVIOR TO DISPLAY ONLINE CONTENT 审中-公开
标题翻译：离线行为的就业显示在线内容
公开(公告)号：US20080004884A1
公开(公告)日：2008-01-03
申请号：US11427680
申请日：2006-06-29
申请人： Gary W. Flake , William H. Gates , Eric J. Horvitz , Joshua T. Goodman , Bradly A. Brunell , Susan T. Dumais , Alexander G. Gounares , Trenholme J. Griffin , Xuedong D. Huang , Oliver Hurst-Hiller , Kenneth A. Moss , Kyle G. Peltonen , John C. Platt
发明人： Gary W. Flake , William H. Gates , Eric J. Horvitz , Joshua T. Goodman , Bradly A. Brunell , Susan T. Dumais , Alexander G. Gounares , Trenholme J. Griffin , Xuedong D. Huang , Oliver Hurst-Hiller , Kenneth A. Moss , Kyle G. Peltonen , John C. Platt
IPC分类号： G06Q30/00
CPC分类号： G06Q30/02
摘要： Architecture for targeted advertising using offline user behavior information. Information relating to offline behavior can be collected from cell phones, geolocation systems, credit card information, restaurants, grocery stores, etc., and this information is aggregated and employed in connection with selecting and displaying targeted advertising to a user when online. Machine learning and reasoning can be employed to make inferences and dynamically tune advertisement processing. Offline user information can also be employed to enhance context-based searching when the user goes online. The ranking of search results and content for display can be modified as a function of offline behavior. A system is provided that facilitates online advertising based on at least offline activity using a profile component for aggregating offline behavior information of a user and generating a related user profile. An advertising component employs the user profile in connection with delivery of an advertisement to the user when online.
摘要翻译：使用离线用户行为信息进行定向广告的架构。与离线行为有关的信息可以从手机，地理定位系统，信用卡信息，餐馆，杂货店等收集，并且在线上在选择和显示目标广告时与该信息进行聚合和使用。可以采用机器学习和推理来推理和动态调整广告处理。离线用户信息也可以用于在用户上线时加强基于上下文的搜索。搜索结果和显示内容的排名可以根据离线行为进行修改。提供了一种系统，其利用至少离线活动使用简档组件促进在线广告，用于聚合用户的离线行为信息并生成相关用户简档。广告组件在联机时使用与向用户发送广告相关联的用户简档。

70. 发明授权

US07313571B1 Auto playlist generator 有权
标题翻译：自动播放列表生成器
公开(公告)号：US07313571B1
公开(公告)日：2007-12-25
申请号：US11263347
申请日：2005-10-31
申请人： John C. Platt , Christopher Burges , Alice Zheng , Christopher B. Weare , Steven E. Swenson
发明人： John C. Platt , Christopher Burges , Alice Zheng , Christopher B. Weare , Steven E. Swenson
IPC分类号： G06F17/30 , G03B19/18
CPC分类号： G06F17/30758 , G06F17/30743 , G06F17/30749 , G06F17/30772 , Y10S707/916 , Y10S707/99932 , Y10S707/99933 , Y10S707/99935 , Y10S707/99936 , Y10S707/99943 , Y10S707/99945
摘要： A system and method for generating a list is provided. The system includes a seed item input subsystem, an item identifying subsystem, a descriptive metadata similarity determining subsystem and a list generating subsystem that builds a list based, at least in part, on similarity processing performed on seed item descriptive metadata and user item descriptive metadata and user selected thresholds applied to such similarity processing. The method includes inexact matching between identifying metadata associated with new user items and identifying metadata stored in a reference metadata database. The method further includes subjecting candidate user items to similarity processing, where the degree to which the candidate user items are similar to the seed item is determined, and placing user items in a list of items based on user selected preferences for (dis)similarity between items in the list and the seed item.
摘要翻译：提供了一种用于生成列表的系统和方法。系统包括种子项目输入子系统，项目识别子系统，描述性元数据相似性确定子系统和列表生成子系统，其至少部分地基于对种子项目描述性元数据和用户项目描述元数据执行的相似性处理来构建列表并且将用户选择的阈值应用于这种相似性处理。该方法包括识别与新用户项目相关联的元数据和识别存储在参考元数据数据库中的元数据之间的不准确匹配。该方法还包括对候选用户项目进行相似性处理，其中确定候选用户项目类似于种子项目的程度，并且基于用户选择的偏好来将用户项目放置在项目列表中以用于（dis）相似性列表中的项目和种子项目。

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